Turn rough instructions into optimized, evidence-based prompts for AI agents. Clipboard output for macOS and Linux.
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npx claudepluginhub smykla-skalski/sai --plugin promptgenWrite tests that verify behavior (not implementation), use table-driven/parameterized patterns, and minimize mocking. Supports Go, Python, TypeScript, Java, and Rust.
smykla-skalskiStaff-engineer-level code review evaluating architectural alignment, system-level implications, failure modes, performance, scalability, observability, security, and cross-team impact.
smykla-skalskiDiagnose and fix flaky e2e tests and connectivity issues in service mesh environments (Kuma, Istio, Linkerd, Consul). Covers 11 root causes: timing races, xDS propagation delays, Gomega misuse, pod availability races, mTLS/SDS readiness, Envoy circuit breakers, and outlier detection. Includes Python scripts for live Envoy diagnostics.
smykla-skalskiBuild and refine staff-level engineering resumes through interactive coaching, research-backed best practices, and per-job tailoring.
smykla-skalskiMake text sound natural by removing AI writing patterns. For commit messages, PR descriptions, review comments, docs, changelogs, and any text that sounds robotic or AI-generated.
smykla-skalski+ask +deep +web <- modifiers | optimize your prompts
tolibearIntelligent prompt optimization: injects the right context at the right moment so Claude lands a better first output. Clarifies vague prompts with research-based questions, plus targeted nudges for approach selection, plan readability, workflow routing, background execution, subagent routing, output readability, user-decision questions, and plan-mode assessment
severity1Write prompts, system instructions, agent directives, and skill descriptions using two stacked layers: outcome-first (goal, success criteria, stopping condition) plus directional language (every sentence names the path with positive verbs).
kingbootoshiAnalyze and optimize AI prompts for better results
rohitg00Testany AI/LLM 工具集：Prompt 优化
TestAny-ioMeta-cognition: refine input through brainstorming, refine output through challenge and condensed communication mode.
ai-driven-dev